Abstract
Quantification of mycotoxins in foodstuffs is extremely difficult as a limited amount of toxins are known to be presented in the food samples. Mycotoxins are secondary toxic metabolites, made primarily by fungal species, contaminating feeds and foods. Due to the presence in globally used grains, it is an unpreventable problem that causes various acute and chronic impacts on human and animal health. Over the previous few years, however, progress has been made in mycotoxin analysis studies. Easier techniques of sample cleanup and advanced chromatographic approaches have been developed, primarily high‐performance liquid chromatography. Few extremely sophisticated and adaptable tools such as high‐resolution mass spectrometry and gas chromatography–tandem MS/MS have become more important. In addition, Immunoassay, Advanced quantitative techniques are now globally accepted for mycotoxin analysis. Thus, this review summarizes these traditional and highly advance methods and their characteristics for evaluating mycotoxins.
Keywords: advanced quantitative techniques, chromatography, immunological, mycotoxins, spectroscopy
Mycotoxin causes various acute and chronic impact on human and animal health. It is unavoidable contaminant in food and feed. Thus, this review summarizes these traditional and highly advance methods and their characteristics for evaluating mycotoxins.
1. INTRODUCTION
Population in developing countries especially rural areas are dependent on locally produced foods and generally face problems related to food security and mycotoxin contamination which is reflected to be a major food quality issue. Mycotoxins are toxic, low‐molecular weight (300–700 Da), secondary fungal metabolites which are produced in both pre‐ and postharvest conditions. Their yield is genotypically identified, but is not narrowed to only one toxin per species or one species (Turner, Subrahmanyam, & Piletsky, 2009). The frequently monitored mycotoxins include aflatoxin, ochratoxin A, patulin (PAT), zearalenone, groups of trichothecenes, fumonisin, and citrinin (Lerda, 2011). The conventional analytical methods applied to determine mycotoxin in food samples produce outcomes within periods or days. The existing competition between the food and feed industry, thereby, drives to decrease costs, service, labors, and rapid delivery of results. Therefore, rapid techniques for the analysis of mycotoxin have become increasingly significant.
This review summarized a wide outline about the detection techniques, qualitative and quantitative determination methods of major and minor mycotoxins over the previous 50 years. A brief discussion about various mycotoxin sources has been included. Attention is drawn toward the toxicity of different mycotoxins and their metabolites as well as their adverse effects on human health. Precleaning methods play an important role in the detection of mycotoxins. Hence, this review provides a brief summary of several reported extraction methods and also on various advancements employed in solid‐phase extraction methods. In this review, various detection techniques viz. ultraviolet, fluorescence, photomultiplier, ion mobility, and tandem mass spectrophotometry, fourier transforms near infrared, adsorptive stripping voltammetry, and their lower detection limits, and sensitivity of different types of matrice has been reviewed. For the determination of mycotoxins, traditional quantitative methods viz. chromatography, immunological, and the advanced methods viz. ultrahigh‐performance liquid chromatography, fluorescence polarization immunoassay, nanoparticle‐based methods, microfluidics, and phage display methods have been discussed extensively in this review.
1.1. Occurrence of major mycotoxins
1.1.1. Aflatoxin
Aflatoxins (AFs) are difuranocoumarins derivatives (Figure 1a‒d) produced by several strains of Aspergillus parasiticus and Aspergillus flavus via polyketide pathway (Alcaide‐Molina, Ruiz‐Jiménez, Mata‐Granados, & Luque de Castro, 2009; Ali et al., 2005). The four important AFs found are Aflatoxin B1 (AFB1), Aflatoxin B2 (AFB2), Aflatoxin G1 (AFG1), and Aflatoxin G2 (AFG2) and can be differentiated according to their fluorescence under UV light (green or blue) and comparative chromatographic movement during thin‐layer chromatography. Apart from major AFs, AFM1, a hydroxylated metabolite of AFB1, frequently found in milk and milk based baby foods.
1.1.2. Zearalenone
Various Fusarium species like Fusarium graminearum, F. culmorum, F. equiseti, and F. crookwellense are in the production of nonsteroidal estrogenic mycotoxin named zearalenone (Figure 1e; Urry, Wehrmeister, Hodge, & Hidy, 1966) via polyketide pathway (Hagler, Towers, Mirocha, Eppley, & Bryden, 2001). It exhibits blue‐green fluorescence when excited by long wavelength UV light (360 nm) and a more intense green fluorescence when excited with short wavelength UV light (260 nm; Yu, Wang, & Sun, 2014). Other techniques like HPLC/IAC, atmospheric pressure chemical ionization (APCI) or electrospray ionization interface and LC‐MS/MS have been commonly used for the measurement of zearalenone (ZEA; Berthiller, Schuhmacher, Buttinger, & Krska, 2005; Macdonald et al., 2005).
1.1.3. Citrinin
Several species of Aspergillus, Monascus, and Penicillium are responsible for the production of Citrinin (Figure 1f). Among Aspergillus species, A. niger is reported to be mainly involved in the production of citrinin. Citrinin is a polyketide mycotoxin. It has a conjugated, planar structure which produces its natural fluorescence (the highest fluorescence is produced by a nonionized citrinin molecule at pH 2.5; Vazquez et al., 1996). Quantitative methods such as high‐performance liquid chromatography with fluorescence detection (HPLC‐FLD) and LC‐MS/MS have been compared for citrinin detection in red fermented rice samples, and it was observed that LC‐MS/MS displayed better results in terms of limit of detection (LOD) and quantification compared to that of HPLC‐FLD (Ji et al., 2015).
1.1.4. Ochratoxin
Filamentous species of Penicillium and Aspergillus are involved in the production of Ochratoxin A (OTA; Figure 1g; Bredenkamp, Dillen, Rooyen, & Steyn, 1989; Budavari, 1989; Miller, 1992). It is a pentaketide derivative coupled to β‐phenylalanine from the dihydrocoumarins family. OTA is optically active, and it is spectrally characterized by UV‐visible, fluorescence, IR, and NMR and MS detection methods (Abramson, 1987; de Jesus, Steyn, Vleggaar, & Wessels, 1980).
1.1.5. Patulin
Several species of mold, like Penicillium, Aspergillus, and Byssochlamys, are involved in PAT production. Patulin (Figure 1h) is also a polyketide metabolite. Liquid chromatography (LC) with UV detector has been used to identify and quantify PAT. However, capillary micellar electrokinetic chromatography (MEKC) developed by Tsao and Zhou (2000) has proved to be a faster and more precise technique for quantification of PAT. Martin, Aranda, Benito, Perez‐Nevado, and Cordoba (2005) have reported detection of five other mycotoxins such as citrinin, ZEA, mycophenolic acid, aflatoxin B1, and griseofulvin apart from PAT by MEKC. It requires a small volume of samples and is ecologically safe compared to other analytical methods.
1.1.6. Trichothecenes
Trichothecenes (Figure 1i) include a large family of structurally related toxins, mainly produced by fungi belonging to the genus Fusarium. Among trichothecenes, type A and type B are of special interest due to their widespread presence and extremely toxic nature. The trichothecenes contain a family of closely related chemical compounds called sesquiterpenoids. Derivatization using fluorescence labeling reagents, like 1‐Anthroylnitrile (1‐AN), is an effective method for determination of trichothecenes (Pascale, Haidukowski, & Visconti, 2003; Trebstein, Seefelder, Lauber, & Humpf, 2008; Visconti, Lattanzio, Pascale, & Haidukowski, 2005). Methods like GC–flame ionization detector (FID)/mass spectrophotometer (MS) and enzyme‐linked immunosorbent assay (ELISA) have been used for separation, identification, and quantification of trichothecenes (Li et al., 2012; Turner et al., 2009). ELISA proved to be a cheap and rapid screening method among others.
1.1.7. Deoxynivalenol and deoxynivalenol‐3‐glucoside
Deoxynivalenol (DON) is a major trichothecenes, one of several fusarium species mycotoxins. Maize, wheat, oats, barley, rice, and other grains are often contaminated in the field or during processing. DON can be converted to deoxynivalenol‐3‐glucoside (DON‐3G) called as masked mycotoxin by plant detoxification (Dong et al., 2017). Methods like LC‐MS/MS are developed to detect the both DON and DON‐3G in the bakery products (Generotti et al., 2015). Similarly, Johny et al. (2019) have developed high‐resolution LC‐MS method to detect DON‐3G exposed fish and in plant‐based fish feed. The LOD was obtained 176 µg/kg for DON‐3G in salmon, zebrafish, and fish feed.
1.1.8. Fumonisin
Fumonisin (Figure 1j) is produced by Fusarium species particularly Fusarium proliferatum, F. nygamai, F. verticillioides, and Alternaria alternate (Rheeder, Marasas, & Vismer, 2002). Plattner and Shackelford (1992) and Seo and Lee (1999) have demonstrated that fumonisins (FBs) do not possess a cyclic structure which is generally found in mycotoxins. The detection and measurement of these toxins by HPLC using electrospray MS and evaporative light scattering detector have been widely reported. Fumonisins can be detected using HPLC‐UV or HPLC fluorescence detectors after derivatization (Ndube, van der Westhuizen, & Shephard, 2009; Shephard, Sydenham, Thiel, & Gelderblom, 1990).
1.2. Mycotoxins toxicity and their adverse effects
Mycotoxins are the most hazardous among food and feed contaminants, due to the global occurrence of mycotoxigenic molds. They have adverse effects on human and animal health. These toxic effects vary according to the chemical structure of the toxin. Not only the amount of the toxin but also the duration of exposure determines the degree of such adverse effects. International Agency for Research on Cancer (IARC) has categorized mycotoxins as proven (Group 1), probably (Group 2A) and possibly (Group 2B) human carcinogen. For instance, AFs have been categorized under Group1 and OTA under Group 2B (Bhat, Rai, & Karim, 2010). AFs are hepatotoxic and proven as a hepatocarcinogenic agents (Mishra & Das, 2003). AFs are immunosuppressive, teratogenic, and mutagenic in nature. Only Ochratoxin is potentially as important as AFs among the Aspergillus toxins. The main target organ is the kidney. OTA is a nephrotoxin for all animal species tested so far and is most likely to be toxic to humans (Creppy, 1999). It causes neurotoxicity and hepatotoxicity and affects blood coagulation and immunosuppressive carcinogenic agent. In all animal species studied, citrinin also acts as a nephrotoxin, but its acute toxicity varies among different species (Carlton & Tuite, 1977). It also causes hepatotoxicity and genotoxicity (Group 3, IARC). ZEA (group 3, IARC) has strong estrogenic effects, and trichothecenes (Group 3, IARC) can inhibit protein synthesis, induce immune‐modulatory effects, alimentary toxic aleukia (Sudakin, 2003). Patulin generally found in apples and in unfermented apple juice (Trucksess & Tang, 1999). In general, toxicity of PATs is related to acute and subacute toxicity, genotoxicity, embryotoxicity, and teratogenicity (Puel, Galtier, & Oswald, 2010).
The United States, the European Commission, and many other countries have established a tolerable daily intake and maximum residue levels (MRLs) for AFB1, OTA, FBs, ZEA, DON (Group 3), and trichothecene (T‐2, HT‐2) toxins in different foodstuffs. In case of AFs, the limit is set in the range of 2–4 μg/kg in cereals, dried products, and peanuts (European Commission (EC), 2010). For FBs and OTA, the limit has been set to 200–1,000 μg/kg in cereals and cereal‐based products, and 2–10 μg/kg in cereals, wine, coffee, cheese, and cocoa, respectively. ZEA limits range from 20 to 100 μg/kg in cereals and cereal products. For DON and PAT have regulatory limits 200–500 μg/kg in cereals and cereal products and 10–50 μg/kg in apple and concentrate, respectively. Food and Drug Administration (FDA) has set the regulatory guidelines for major mycotoxins in food and feed. The United States has set MRLs as 20 μg/kg AFs in different food commodities like maize, wheat, rice, and peanut, 0.5 μg/kg AFM1 in milk and milk products, 2,000–4,000 μg/kg FBs in maize and maize products, 1,000 μg/kg DON in cereals and cereal products, and 50 μg/kg PAT in apple and apple juices (FDA, 2002). Due to the common occurrence of regulated mycotoxins (AFs, ZEA, DON, FBs, OTA), their toxic nature has posed a risk to human and animal health, therefore demanding a solution for the protection of fauna. Although some toxins have not been regulated such as alternaria, sporidesmins, endophyte mycotoxins, sterigmatocystin, and phomposins, their toxigenic potential has been assessed in various studies (Nieto, Granero, Zon, & Fernández, 2018; Rodríguez‐Carrasco, Moltó, Berrada, & Mañes, 2014; Woudenberg, Groenewald, Binder, & Crous, 2013). Regulated and unregulated mycotoxins and their toxicity were summarized in (Tables 1 and 2).
Table 1.
Regulated mycotoxins | Source | Toxicity | References |
---|---|---|---|
AFs (AFB1, AFB2, AFG1, AFG2, AFM1, AFM2) | Aspergillus flavus, A. parasiticus, A. bombyci, A. ochraceoroseus, A. nomius, A. pseudotamari | Carcinogenic, teratogenicity, hepatotoxic mutagenic, nephrotoxic, liver disease and immunosuppressive, formation of DNA adducts, lipid peroxidation, bioactivation by cytochromes P450, conjugation to GS‐transferases | Mishra and Das (2003) and Streit et al. (2012) |
FBs (FB1, FB2, FB3) | Alternaria alternata, Fusarium anthophilum, F. moniliforme, F. dlamini, F. proliferatum, F. nygamai, F. verticillioides | Carcinogenic, hepatotoxic, necrosis, immunotoxic, adverse effect on the sphinganin/sphingosin ratio, adverse effects on the cell cycle | Rheeder et al. (2002) |
Type A trichothecenes (T2 and HT2 toxin, diacetoxyscirpenol, neosolaniol) | Fusarium sporotrichioides, F. graminearum, F. moniliforme, F. myrothecium, F. acuminatum, F. culmorum, F. equiseti, Cephalosporium sp. Trichoderma sp. | Immunodepressants, gastrointestinal, mutagenic induction of apoptosis in haemopoietic progenitor cells, effect on protein synthesis, abnormal changes to immunoglobulins. | Ueno (1984) |
Type B trichothecenes (nivalenol, deoxynivalenol, 3acetyl DON, 15acetyl DON, fusarenon X) | Fusarium graminearum, F. culmorum, F. sporotrichioides, F. cerealis, F. lunulosporum | Immunodepressants, neurotoxic, mutagenic, gastrointestinal. | Zain (2011) and Ueno (1984) |
ZEA | Fusarium graminearum, F. culmorum, F. equiseti, F. sporotrichioides | Estrogenic activity (infertility, vulvar edema, vaginal prolapse, hypertrophy in females, feminization of males), bioactivation by reductases. | Tang et al. (2014) and Zain (2011) |
Ochratoxins (OTA, OTB, OTC) | Aspergillus ochraceus, A. pseudoelegans, A. alutaceus, A. alliaceus, A. auricomus, A. glaucus, A. niger, A. carbonarius, A. melleus, A. albertensis, A. citricus, A. flocculosus. | Carcinogenic (urinary tract, tumors), mutagenic, nephrotoxic, hepatotoxic teratogenic, effect on protein synthesis, inhibition of ATP production, detoxification by peptidases | Bhat et al.(2010) and Zinedine et al. (2007) |
Patulin | Asregillus clavatus, A. longivesica, A. terreus, Penicillium. expansum, P. griseofulvum, Byssochlamys sp. | Immunodepressant, pulmonary and cerebral edema, nausea, gastritis, paralysis, convulsions, capillary damage, carcinogenic, indirect enzyme inhibition | Puel et al. (2010) |
Ergot alkaloids | Claviceps purpurea, C. fusiformis | Effects on gastrointestinal, the central nervous system | Bennett and Klich (2003) |
Citrinin | Aspergillus terreus, A. carneus, A. niveus, Penicillium verrucosum, P. citrinum, P. expansum | Nephropathy, yellow rice disease carcinogenic, cytotoxic effects | Bennett and Klich (2003) and Magro et al. (2016) |
Table 2.
Unregulated mycotoxins | Source | Toxicity | References |
---|---|---|---|
Alternaria Mycotoxins (altenuene, alternariol, alternariol Monomethyl ether, Altertoxin I, altertoxin II |
Alternaria alternata, A. dauci, A. cucumerina, A. solani, A. tenuissima, A. citri | Teratogenic, mutagenic, carcinogenic, cytotoxic effects. | Pedras, Zaharia, and Ward (2002) |
Tremorgenic mycotoxins (penitrems, janthitrems, lolitrems, aflatrem) | Penicillium roquefortii, P. crustosum, P. puberrelum, Aspergillus clavatus, A. fumigatus | Gastroenteritis, neurotoxicity, clinically affected dogs present with cute abdominal pain, muscle tremors and fasciculation, ptyalism, vomiting, fever, tachycardia, hyperesthesia, and seizures. | Hocking, Holds, and Tobin (1988) |
Sterigmatocystin | Aspergillus nidulans, A. versicolor, A. flavus | The toxic effects of sterigmatocystin are much the same as those of AFsAFB1. | Holzapfel, Purchase, Steyn, and Gouws (1966) |
Sporidesmins | Pithomyces chartarum | Facial eczema in ruminants. | Munday (1985) |
Stachybotryotoxins | Strachybotrys chartarum | Pulmonary hemorrhage, inhalation or contact exposure in human beings responsible for production losses in affected animals. | Etzel et al. (1998) |
Phomopsins | Phomopsis leptostromiformis | Inhibition of important cellular functions such as spindle formation during mitosis and the intracellular transport of lipids. Distortions of cell nucleus shape plus apparent disruptions to membrane systems within the cell. | Battilani et al. (2011) |
For better understanding of the global effect of mycotoxin contamination, accurate, more rapid, and highly sensitive methods are essential for routine identification and detection of these compounds. The diverse nature of the matrice, target, environment, time requirements, detection levels, and accessibility of appropriate technology are considered to be challenging. For developing an effective, precise, and sensitive method for mycotoxins analysis, a great deal of attention should be paid to the matrice effect. The matrice effect is the combined effect of all sample components other than an analyte of interest on quantification. If a particular element can be defined as having an effect, it is called interference. The matrice effect can be observed as a loss or increase in response and therefore results in estimation or overestimation of mycotoxin. The matrice effect therefore affects the precision, accuracy, and sensitivity of the analytical method. For mycotoxin analysis, the matrice effect is very important, since mycotoxins, themselves, are of various chemical entities and present in various sample matrices.
Thus, investigation and detection of mycotoxin contamination in foods and feeds have been a vital center of international and national activities over the years. For accurate and rapid determination of these mycotoxins in unprocessed cereals and cereal‐based products, sensitive, analytical methods are highly relevant to the toxicological implications to animals and humans and highly desirable in order to measure risk of exposure, further to confirm regulatory levels fixed by the United States, European Union, or different international organizations. Analysis of mycotoxins usually requires toxin extraction from the matrice with a suitable extraction solvent, a cleanup procedure in order to remove interfering elements from the extract, and lastly, determination/detection of the toxin by appropriate analytical instrumentation.
2. EXTRACTION AND PRECLEANING METHODS
Primary extraction (Pascale, 2009) is necessary for the determination of mycotoxins from the different matrices like (wheat, maize, peanut, etc.). Selection of a suitable solvent is required for all the extraction procedures (Gilbert & Vargas, 2003). The choice of solvent primarily depends on the type of analyte. Generally determination of mycotoxins from solid feeds and food requires organic solvents. The two recommended methods are solvent extraction and solid‐phase extraction (SPE).
2.1. Solvent extraction method
Solvent extraction is a process to distinguish compounds based on their relative solubility in two different immiscible liquids, usually an organic solvent and water. Solvents possessing low dielectric constants (tendency to be immiscible with water) are good at extracting nonpolar compounds for example mycotoxins. To decrease the respective miscibility, appropriate solvents such as acetonitrile or methanol must be mixed with water in the presence of salts. The polar analytes selectively move into the polar organic phase from the aqueous phase. The following factors like polarity, solvent power (selectivity), and reactivity should be considered while selecting a particular solvent system. The main disadvantage of the solvent extraction method is poor selectivity of most solvents, and the final extract obtained is often colored and viscous.
2.2. Solid‐phase extraction method
Solid‐phase extraction is considered to be significant for sample preparation in mycotoxins analysis. The application of SPE is basically determined by the sorbent consumed in the extraction column. Currently, an enormous number of solvents are accessible, and the commonly used group of sorbents include polymers, porous/graphitized Carbon, chemically modified silica gel, and selective sorbents (immunosorbents, molecularly imprinted polymers). Most preferably used selective solid phase is those dependent on immunoaffinity recognition, where the target mycotoxin acts as an antigen, and solid phase possesses a targeted antibody. The choice of pretreatment method depends on many parameters such as the availability of analytical instrumentation, template, and target. Mycotoxins are small organic molecules which have different solubility in different solvents, so further cleanup methods are required.
2.3. Immunoaffinity column
Immunoaffinity column (IAC), a system based on antigen–antibody interaction, has some advantages, including limited mycotoxin loss and total removal of interfering substances. Therefore, the use of IAC as a cleanup technique could greatly improve the accuracy of subsequent analysis compared to SPE extraction,. The formulation of specific antibody solid‐phase materials plays an important role in extraction procedure (Şenyuva & Gilbert, 2010; Tessini et al., 2010). Ma et al. (2013) concentrated on the development of immunoaffinity column using 1C11 antibody for the extraction of four different AFs from different kind of matrices. O'Riordan and Wilkinson (2009) accomplished an assessment of IA methods, linked with detection techniques (ELISA and HPLC‐FD) with or without postcleanup derivatization of the chili sample. The outcomes from this experiment favored HPLC performs better as a postcleanup quantification technique.
2.4. New absorbents
Many advanced nanomaterials, including carbon nanomaterials and magnetic carbon nanomaterials, have been used for mycotoxin determination. The main advantage of carbon nanomaterials is due to their high adsorption ability (Wang, Liu, Lu, & Qu, 2014). Graphene oxide (GO) and multi‐walled carbon nanotubes (MWCNTs) are the example of Nanomaterial used as absorbent. GO was recently used in preconcentration of the extraction of AFs from traditional Chinese proprietary medicines for the first time (Ran, Chen, Ma, & Jiang 2017). MWCNTs have been shown to adsorb type A trichothecenes and were therefore used as SPE sorbents in maize, wheat, and rice to purify and enrich mycotoxins (Dong et al., 2015). However, only AFs, ZEA, and the four trichothecenes of type A (T‐2, HT‐2, DAS, and NEO) were studied. Many other types of mycotoxins are awaiting evaluation of the appropriate nanomaterials.
2.5. QuEChERS extraction method
Lehotay et al. (2007) reported QuEChERS (quick, easy, cheap, effective, rugged, and safe) solid‐phase extraction method to detect twenty pesticides in 3 matrices (grapes, lettuces, and oranges) at levels ranging from 10 to 1,000 ng/g. Azaiez, Giusti, Sagratini, Mañes, and Fernández‐Franzón (2014) also reported a method to detect mycotoxin in dried fruits using quenchers extraction. This method is preferred over other methods due to its ability of simultaneous extraction of multiple mycotoxins, less solvent utilization, cost‐effectiveness, quick, and lower detection limit than EU regulations.
3. DETECTION TECHNIQUES
UV absorbance and fluorescence characteristics of mycotoxins have been utilized for their detection and quantification. Various detectors, namely, UV, fluorescence, laser‐induced fluorescence (LIF), mass spectrometry (MS), and photomultipliers (PTM). have been used for quantitative determination of mycotoxins.
3.1. Ultraviolet absorption
Ultraviolet–visible spectroscopy is a type of absorption spectroscopy. It has been reported that all the AFs have a molar absorptivity of 20,000 cm2/mol exhibiting maximum absorption at 360 nm (Akbas & Ozdemir, 2006). Experimental data suggested that the detection limit of AFs can be improved by the selection of appropriate method for extraction and cleanup procedure (Ali et al., 2005; Göbel & Lusky, 2004). The sensitivity of UV system is not enough to detect AFs in trace levels (Alcaide‐Molina et al., 2009) since its limit of detection reaches up to only micro molar ranges (Couderc, Caussé, & Bayle, 1998). Hence, fluorescence (FL) techniques have gained more popularity for AFs detection.
3.2. Fluorescence
Fluorescence is an important parameter for the analysis and characterization of molecules that emit energy at specific wavelengths. It has been reported that almost every AF exhibits a maximum absorption at 360 nm (Akbas & Ozdemir, 2006). Different techniques for AFs detection associated with fluorescence are illustrated in (Table 3).
Table 3.
Toxin | Matrix | Analytical method | Detection method | Detection limit | Reference |
---|---|---|---|---|---|
AFM1 | Milk | ELISA based on nanoparticles | UV absorbance | 4–25 ng/L | Radoi, Targa, Prieto‐Simon, and Marty (2008) |
AFB1 | Corn | LC | FD | 2.00–5.00 ng/g | Brera et al. (2007) |
AFB1 | Food | Surface‐enhanced Raman scattering (SERS)‐based immunoassay | Silica‐encapsulated hollow gold nanoparticles | 0.1 ng/ml | Ko, Lee, and Choo (2015) |
AFB1 | Cigarette smoke | LC | MS | 3.75 pg | Edinboro and Karnes (2005) |
AFB1 | Maize | Immunochromatographic Assay | Highly Luminescent Quantum Dot Beads | 0.42 pg/ml | Ren et al. (2014) |
AFs | Complex dietary product | HPLC | FD | 1.6–5.2 mg/kg | Zahn et al. (2009) |
AFs | Milk, egg, meat | HPLC | UV and FD | UV‐ 0.1 mg/kg | Herzallah (2009) |
AFB1 and AFM1 | Various foodstuffs |
Indirect Competitive ELISA |
UV absorbance | 0.13–0.16 mg/L | Jiang et al. (2013) |
AFB1 | Peanuts | Competitive FLISA (quantum dot linked) | FD | 0.016 ng/ml | Zhang et al. (2014) |
3.2.1. Fluorescence spectrophotometer
It has been used to analyze AFs in cereals, mainly in peanuts. The fluorometric method can quantify AFs from 5 to 5,000 μg/kg in less than 5 min (Herzallah, 2009). Fluorometric derivatization is required for better analysis of AFs for enhancement of their fluorescence. The detection limit for AFs in this case is also slightly higher than the limit set by EU (4 μg/kg). Urraca, Marazuela, and Moreno‐Bondi (2004) have reported a method to analyze ZEA and α‐zearalenol in wheat samples and swine feed. The LOD achieved was 6 ng/g for ZEA in wheat samples and swine feeds. For α‐zearalenol, LOD achieved was 3, 4 ng/g in wheat and swine feed, respectively. Fluorescence detection provides better accuracy and higher precision in the broad concentration range.
3.2.2. High‐performance liquid chromatography coupled with fluorescence detection
There is no doubt that fluorescence detectors are the most sensitive among all the advanced current HPLC sensors. It enables to detect the presence of even a single analyte molecule in the flow cell. Usually, the sensitivity of fluorescence is 10–1,000 times better than that of UV detector for higher UV absorbing materials due to which this technique is used regularly in the measurement of specific fluorescent compounds present in the samples.
Although aqueous mixtures significantly enhanced the native fluorescence emission of AFs in reversed‐phase chromatography, AFs might be identified in food commodities by HPLC‐FLD. HPLC‐FLD is mostly used for the detection of OTA in several matrices, such as rice (Zinedine et al., 2007) and blue cheese (Dall'Asta et al., 2008). Kong et al. (2013) have developed a method for analysis of seven mycotoxins (AFB1, AFB2, AFG1, AFG2, ZEA, α zearalenol, and β zearalenol) in coix (Coix lacryma‐jobi)seed. The technique is based on the use of methanol/water (80/20) for fast ultrasonic solid–liquid removal, followed with the cleanup of the IAC, photochemical derivatization, and HPLC‐FLD. The detection limit for mycotoxins ranged from 0.01 to 0.04 μg/kg, which was noted to be lower than the tolerance levels set by the European Union (EU). This approach offers many advantages over recent practices, including sensitive detection and rapid separation.
3.2.3. High‐performance liquid chromatography coupled with photodiode array
To obtain spectral profiles from molecular mixtures or chromatographically isolated samples, diode array detectors (also referred to as a DAD detector or more precisely HPLC photodiode array [PDA] detector) are used. An HPLC PDA detector is combined with separation system elutes by molecular weight, hydrophobicity (reverse‐phase), or ionic load, making them important for HPLC. PDA detectors used to analyze the molecules in different conditions such as solids or static solutions, or in a flow cell, it provides low noise spectral analysis. Mochamad and Hermanto (2017)have reported HPLC‐UV‐PDA array for the detection of AFB1 in cattle feed supplements. Limit of quantification was obtained as 2.3 ng of analyte for 1 gram of feed samples. Comparison of standard methods in worldwide regulations has been demonstrated to detect up to 4 ng analytes in 1 g samples with the use of a fluid chromatography instrument (Taheri et al., 2012). Results suggested that the method described above was more resilient than other methods for mycotoxin detection.
3.2.4. Laser‐induced fluorescence screening method
Laser‐induced fluorescence coupled with HPLC is a sensitive and powerful technique used to detect AFs at subpicogram levels. Aflatoxins eluting from reverse‐phase column passes through detection window in LIF detector. The fluorescence induced by the laser is detected (Alcaide‐Molina et al., 2009; Simeon et al., 2001). Further multiples fiber optic LIF has been developed for direct detection of AFs in kernels of maize and pistachio (Smeesters, Meulebroeck, Raeymaekers, & Thienpont, 2015; Wu & Xu, 2019).
However, LIF detection is a technique constrained to a restricted number of research laboratories as it requires the labeling of analytes with dyes, having wavelength similar to laser and the laser itself is considered to be expensive. Furthermore, the LIF can generate false results when the labeling reactions are not up to the mark (Lalljie & Sandra, 1995).
3.3. Photomultipliers
Since fluorescence detection technique is concised to fluorescence, there is a need for other methods to detect mycotoxins. Photomultipliers (PMTs) are based on flow through the detection system, highly sensitive and are suited for the measurement of bioluminescence, chemiluminescence, or ultralow fluorescence (FIAlab Instruments, PMT‐FL). PTMs are sensors that are user‐friendly, compact for quick detection of AFM1 at low concentrations without the requirement for preconcentration of the sample (Cucci, Mignani, Dall'Asta, Pela, & Dossena, 2007).
3.4. Ion‐mobility spectrometry
The ion‐mobility spectrometry is a technique used to label chemicals that depend on the velocity achieved by the gas‐phase ions in the presence of an electrical field. The working of ion‐mobility spectrometry (IMS) is similar to that of Fourier Transform Near Infrared (FT‐NIR). The advantages of IMS include low detection limit, simple, fast response and cost‐effective. Khalesi, Sheikh‐Zeinoddin, and Tabrizchi (2011) have used corona discharge IMS to determine OTA in the licorice root. A detection limit (LOD) of 0.01 ng was achieved. The new technique is reliable if the extract is subjected to a prior immunoaffinity cleanup and is valid for selection purposes. Righetti et al. (2018) have developed ion‐mobility application to detect different mycotoxins such as AFs, OTA, HT‐2, T‐2, ZEA, PAT, DON, and fumonisins in wheat, malt, maize, and rye. The tests demonstrated high reproducibility (relative standard deviation (RSD) < 2%) in various instrument conditions and were not influenced by complex sample matrices, showing a RSD < 0.9%. In traditional LC and gas chromatography (GC) mass spectrometry (MS) workflows, several advantages are attributed to IMS: (a) It reduces the background noises and provides higher sensitivity in terms of detection of mycotoxins. (b) This provides additional data on mass spectrum and retention time, the so‐called collision cross section, so that compounds can be detected with greater confidence in targeted or nontargeted approaches.
3.5. Mass spectrometry/Tandem mass spectrometry
Mass spectrometry is an analytical technique that sorts the ions depends on their mass to charge ratio and ionizes chemical species. Tandem mass spectrometry (MS/MS) has an advantage in chromatographic peak detection. Mass spectrometry performance can be improved by combining it with various separation techniques, such as liquid chromatography, ion mobility, and gas chromatography. Pallarés, Font, Mañes, and Ferrer (2017) have reported the analysis of multi‐mycotoxin (AFs, 3aDON, 15aDON, Nivalenol, HT‐2, T‐2, ZEA, OTA, Enniatin, and Beauvericin) using LC–MS/MS method with a dispersive liquid–liquid microextraction (DLLME) procedure in a tea beverages matrice. The results showed LODs in the range of 0.05–10 μg/L. The risk assessment research showed that people are not exposed to mycotoxins using tea beverages.
3.6. Fourier Transform Near Infrared spectrometry
This technique depends on the absorbance quantity of the light emitted by the sample whose wavelength differs in the range of Near Infrared (NIR). An Infrared spectrometer is used in the analysis of a compound where Infrared radiations covering a wide range of frequencies are passed through the sample, and the radiant energy absorbed by each type of bonds in the molecules is measured. A spectrum is then produced normally consisting of a plot wave number (cm−1) versus transmittance (%). This technique has been used for the detection of AFs (Tripathi& Mishra, 2009) using the standard reference molecules with calibration. Bozza et al. (2013) have reported detection of OTA in the green coffee beans matrice. The transmittance and reflectance data showed good results in terms of detection and quantification of OTA in fungal isolates by FT‐IR method. Levasseur‐Garcia (2018) has described the detection of fusarium mycotoxins such as DON, ZEA, FB1, and FB2 present in corn, wheat, and barley. Spectrometry methods are time‐consuming and costly compared to infrared methods which are simple, fast, nondestructive methods to detect mycotoxins. Successful model preparation is an important criteria that must be established, thus requiring little sample preparation and some well‐trained technicians. This method has certain benefits, such as high accuracy, precision, and prediction of physical and chemical properties from a single spectrum allowing multiple mycotoxins to be determined simultaneously by the usage of multivariate calibrations.
4. TRADITIONAL QUANTITATIVE METHODS
The commonly used chromatographic methods for mycotoxins determination in cereals include thin‐layer chromatography (TLC), high‐performance liquid chromatography (HPLC) coupled with ultraviolet (UV), fluorescence (FD), diode array (DAD) or MS detectors, gas chromatography (GC) coupled with flame ionization (FID), and electron capture (ECD) or MS detectors. In addition to the abovementioned methods, commercial immunometric assays, such as membrane‐based immunoassays or ELISAs, are commonly used for selection purpose.
4.1. Chromatography methods
Numerous chromatographic methods are available for the quantification of mycotoxins. Traditional TLC is considered as an effective screening method for mycotoxins and has gained great significance due to low cost, simple instruments and fluorescent spots under UV, though it has poor accuracy and low sensitivity, making quantification difficult. TLC is widely accepted as an approved reference method for the determination of AFs; it has been replaced with HPLC for quantitative analysis of mycotoxins. Caputo et al. (2014) reported the development in TLC detection for OTA analysis. It was noted that when 2 µl was dropped onto the TLC plate, and 0.2 µg of OTA could be detected. This method shows better sensitivity than UV lamp and shows limit of detection as like LC methods as less as parts per billion (μg/kg).
4.1.1. Liquid chromatography
Liquid chromatography has been developed to overcome the limitations of TLC method like limited plate length, humidity and temperature effect as the separation takes place in an open system. LC is generally coupled with UV absorption, amperometric detection, and fluorescence detection stage (FLD) with precolumn or postcolumn derivatization. LC coupled with fluorescence stage utilizes the fluorescence properties of AFs in order to quantify them. It has been acknowledged that LC‐MS and LC‐FLD are the benchmark methods for the detection of mycotoxins (Cirlini, Dall'Asta, & Galaverna, 2012; Núñez, Gallart‐Ayala, Martins, & Lucci, 2012).
For the simultaneous determination of mycotoxins like DON, NIV, FB1, FB2, T‐2 and HT2, ZEA, and AFs, LC‐APCI‐MS/MS method has been developed using reversed‐phase SPE Oasis® HLB columns for extract cleanup (Lattanzio, Solfrizzo, & Visconti, 2008). Nowadays, different extraction columns such as DLLME, liquid–liquid extraction, SPE, accelerated solvent extraction, solid‐phase matrice dispersion, and dilute and shooting approaches have been reported with the aim of reducing the matrice effects as much as possible by reducing the interference from the extraction step with LC‐MS/MS to analyze multi‐mycotoxins (Santis et al., 2017; Pallarés et al., 2017).
Sensitivity, precision, and accuracy of LC‐MS techniques may differ based on the mycotoxins, matrice, ionization technique, and sensitivity of the process used. LC‐MS often gives unsatisfactory results of quantitative measurement of mycotoxins due to ion suppression and matrice effects. Tandem mass spectrometry has been preferred over fluorescence as the detection method since it is capable of identifying various nonfluorescent and fluorescent toxins and is cost‐effective.
4.1.2. High‐performance liquid chromatography and ultrahigh‐performance liquid chromatography (UHPLC)
High‐performance liquid chromatography (HPLC) has been evolved, since the late 1960s. HPLC is considered as the common chromatographic method with a wide range of detection approaches (Vail and Homann, 1990). 80% of the world's organic compounds such as nutritional fortifiers, vitamins, protein, health food efficacy composition. have been analyzed using this method (Torres‐Pacheco, 2011). The food quality evaluation via this process offers an accurate, alternative, and acceptable mode to create strategies and to estimate the status of AFs in contaminated foods. The generally used detectors for HPLC are ultraviolet (UV) and fluorescence detectors (FLD). UV detectors are used to identify the analytes measuring the sample's absorption of light at different wavelengths. In case of fluorescence detector, analytes are identified depends on the occurrence of a chromophore in the particles. A number of toxins possess natural fluorescence property (e.g., AFs) and can be detected directly by HPLC‐FLD. Different analytical methods for AFs detection are summarized in (Table 3). Iha, Barbosa, Heck, and Trucksess (2014) and Iha, Barbosa, Okada, and Trucksess (2011) detected OTA and AFM1 in human milks and dairy products using fluorescence method linked with HPLC. Electrochemical and fluorescence detection is the two sensitive detection modes applied for quantitative studies in HPLC. Sensitive intensities of these amalgam techniques are much superior than conventional fluorescence. Arroyo‐Manzanares, Gamiz‐Gracia, and Garcia‐Campana (2012) used HPLC linked laser‐induced fluorescence for OTA detection. A simple liquid–liquid microextraction was applied to concentrate the toxin at low concentration (ng/L)and to reduce solvent requirements. The major limitations of HPLC methods are portability and practical issues based on the matrice effect, sample type, sample preparation, and choice of calibration. Therefore, there is a need for further analytical methodologies.
4.1.3. Gas chromatography–Mass spectrometry (GC‐MS)
GC mainly depends on differential partitioning of analytes between the two phases of sample analysis. The different chemical components in the sample will distribute themselves between the stationary phase and mobile phase. After the completion of the separation process, the detection of the volatile products is carried out using either mass spectrometer and an electron capture detector (ECD) or FID. Rodríguez‐Carrasco, Moltó, Mañes, and Berrada (2014) and Rodríguez‐Carrasco, Berrada, Font, and Mañes (2012) developed a GC‐MS technique for analysis of mycotoxins (ZEA, PAT, trichothecenes) in grain products and human urine. This technique has a high specificity and sensitivity for all mycotoxins that can be derivatized to a compound which is sufficiently volatile to be gas chromatographed. The main problems associated with GC analysis for mycotoxin detections are as follows: nonlinearity of calibration curves, reminiscence properties from earlier samples, drifting responses, weak fluorescent and absorption groups, column blockage, and the risk of contamination compared to HPLC and LC methods (Pettersson & Langseth, 2002).
4.2. Immunological methods
4.2.1. ELISA
Since late 1970s, immunological assays, such as ELISA, have gained much popularity for mycotoxins screening. Mycotoxins extract can be analyzed directly in the ELISA assay and does not require cleanup procedures. Such immunoassays provide fast, economical measurements even though the number of matrices tested are limited and often lack precision at low concentrations. Nevertheless, the occurrence of structurally related mycotoxins or matrice interference can obstruct conjugate and antibody binding vulnerable to errors in quantifiable mycotoxin measurements. Tang et al. (2014) validated an indirect ELISA detection technique with an immunoaffinity column sample preparation using the same antibody used by Klarić, Cvetnić, Pepeljnjak, and Kosalec (2009) and was found to be extremely sensitive at 0.02 μg/L. In order to recover high sensitivity, most researchers concentrated on modifying the normal ELISA protocol. ELISA formats (such as direct, indirect, competitive, and sandwich) are recognized as an excellent and accurate for screening the mycotoxins, but the procedure is somewhat time‐consuming, not ideal for field testing and requires specialist plate readers. Therefore, a transduction system was integrated with appropriate molecular recognition elements (immunochemical) that favored for portable and field analysis. Different analytical methods for OTA, FB1, patulin, trichothecenes detection described in (Tables 4, 5, 6).
Table 4.
Toxin | Matrix | Analytical method | Detection method | Limit of detection | Reference |
---|---|---|---|---|---|
OTA | Wine | LC | FD | 0.07 ng/ml | Aresta, Vatinno, Palmisano, and Zambonin (2006) |
OTA | Wheat | HPLC | FLD | 23 pg | De Girolamo, McKeague, Miller, DeRosa, and Visconti (2011) |
OTA | Model sample | Nanostructured ZnO supporting antibodies | Electrochemical | 0.006 ng/ml | Ansari, Kaushik, Solanki, and Malhotra (2010) |
OTA | Wines and other foods | HPLC | FD | 0.09 μg/L | Tessini et al. (2010) |
OTA | Cereal and beverages | Competitive immunoassay linked to gold nanoparticles | SPR | 0.042 ng/ml | Yuan, Deng, Lauren, Aguilar, and Wu (2009) |
OTA | Green coffee extract | Automated microarray chip reader | Chemiluminescence detection | 0.3 μg/L | Sauceda‐Friebe et al. (2011) |
OTA | Wine | HPLC | MS/MS | 0.005 ng/ml | Campone, Piccinelli, and Rastrelli (2011) |
Table 5.
Toxin | Matrix | Analytical method | Detection method | Limit of detection | Reference |
---|---|---|---|---|---|
FBs | Maize | Direct competitive magneto‐immunoassay | Electrochemical | 0.33 µg/L | Wang, Wang et al., (2014); Jodra et al. (2015) |
FBs | Maize | Lateral flow immunoassay | Colorimetric | 199 µg/kg | Molinelli et al. (2009) |
Patulin | Model samples | Competitive immunoassay | SPR | 0.1 nM | Pennacchio et al. (2014) |
FB1 | Model samples | Competitive ELISA transferred to microarray | UV absorbance | 43 ng/ml | Lamberti et al. (2009) |
Patulin | Apple Juice | TLC | CCD | 14 µg/L | Welke, Hoeltz, Dottori, and Noll (2009) |
Patulin | Apple puree | Photonics immobilization technique | Quartz‐crystal microbalance (QCM) | 56 ng/ml | Funari et al. (2015) |
FBs | Corn | Indirect competitive ELISA | Electrochemical | 5 µg/L | Kadir and Tothill (2010) |
FB1 | Model samples |
Immunomagnetic bead based indirect competitive ELISA |
Optical immunosensor | 0.24 ng/ml | Wang, Liu, et al. (2014) |
Table 6.
Toxin | Matrix | Analytical method | Detection method | Limit of detection | Reference |
---|---|---|---|---|---|
Trichothecenes | Wheat and maize grains | LC | MS/MS | 0.2–3.3 µg/kg | Santini, Ferracane, Somma, Aragón, and Ritieni (2009) |
ZEA | Corn | Electro‐polymerization onto surface | SPR | 0.3 ng/ml | Chun, Choi, Chang, Choi, and Eremin (2009) |
ZEA | Feed | Competitive immunoassay linked to gold nanoparticles | Surface‐enhanced Raman Spectroscopy | 1 pg/ml | Liu et al. (2014) |
ZEA | Barley, Maize and Wheat Flour | LC | FD | 100 µg/kg | Macdonald et al. (2005) |
ZEA | Maize | Indirect competitive ELISA | UV absorbance | 0.02 µg/L | Tang et al. (2014) |
DON | Wheat and maize | Immunochromatographic strip | 50 ng/ml | Xu et al. (2010) | |
DON | Wheat | Direct binding | Electrochemical | 6.25 ng/ml | Olcer et al. (2014) |
4.2.2. Microplate reader
Microtiter readers can detect the intensity of fluorescence or chemiluminescence and optical absorbance. Microtiter plates possess the unique characteristic of binding proteins evenly (e.g., antibodies or antigens contrary to AFs or secondary antibody). Chemiluminescence immunoassay is another quantitative method depends on ELISA. Mostly, chemiluminescence immunoassay performs better sensitivity than ELISA with a luminol‐based substrate, a secondary antibody (Abs) labeled with horseradish peroxidase, and 384‐well black polystyrene microtiter plates. As chemiluminescence detection does not need either the excitation of fluorescent labels or external light sources, it is more portable and convenient and reduces the complexity of integrated optical components than fluorescence microarrays to certain level (Roda et al., 2006; Yang, Sun, Kostov, & Rasooly, 2011).
4.2.3. Lateral flow strip
Lateral flow strip assay for immunochromatography has fascinated excessive concern in current years. This technique is based on the use of antigen–antibody reactions for the quick analysis of analytes with high sensitivity and specificity. Lateral flow strip assay has developed as the widely and commercially consumed immunoassays for fast analysis of mycotoxins, such as DON (Kolosova, Saeger, Sibanda, Verheijen, & Peteghem, 2007; Kolosova et al., 2008; Xu et al., 2010), ZEA (Kolosova et al., 2007), T‐2 Toxin (Molinelli, Grossalber, & Krska, 2009), and OTA (Cho et al., 2005; Liu, Tsao, Wang, & Yu, 2008). AFB1 (Delmulle, De Saeger, Sibanda, Barna‐Vetro, & Van Peteghem, 2005). Lateral flow strip assay has several benefits, such as simple step procedures, manageable setup, and quantity of target analytes can be detected straight with the bare eyes and rapid on‐site detection (5–15 min), low cost and less interference due to chromatography separation.
5. NEW DETECTION METHODS FOR MYCOTOXINS QUANTITATIVE ANALYSIS
In the recent years, with the fast advancement of detection technologies and introduction of biotechnology, the detection technology of mycotoxins has grown rapidly. Some of the new technologies that have been applied for the detection of mycotoxins are elaborated in the following sections.
5.1. Ultrafast liquid chromatography connected with tandem mass spectrometry (UFLC‐MS/MS)
Ultrafast performance liquid chromatography (UFLC) has made substantial improvements in column technology to accomplish a dramatic increase in speed, resolution, and in separation performance that do not hinge on pressure as in liquid chromatography. UFLC shows the minimum deviation from Van Deemter theory with distinctive and exceptional features thereby shortening the analysis time (Gangadasu, Nagarjuna Reddy, & Dhanalakshmi, 2015). Li, Kong, et al. (2016) has developed an UFLC–MS/MS technique for better productive analysis of OTA, FB1 and FB2, AFs (AFB1, AFB2, AFG1, and AFG2), and ZEA in yam flours, yam‐derived products, and Chinese yam. Subsequently, optimization of some central factors such as chromatographic separation, MS/MS circumstances, and sample preparation was confirmed to display an outstanding results in means of LOD (≤0.15 ng/ml), linearity (r ≥ .9977) and quantification (≤0.5 ng/ml) with better accuracy and precision beside with small run interval (8 min/sample). This reported method was also noted to be proficient for instantaneous detection of mycotoxins another categories of compound matrices. Xing et al. (2016) have reported the quantification of 21 mycotoxins (AFB1, AFB2, AFG1, AFG2, T‐2, FB1, FB2, ST, PA, DAS, NEO, HT‐2, OTA, DON, ZEA, PAT, 3‐ADON, 15‐ ADON, NIV, FUS‐X, CPA) in Radix Paeoniae Alba (RPA) by linking the transformed QuEChERS process with ultrahigh‐performance liquid chromatography–quadrupole‐linear ion trap–mass spectrometry (UHPLC‐QqLIT‐MS) to develop a better yield way for instantaneous detection of mycotoxins. The detection limit and quantification varied from 0.031 to 5.4 μg/kg and 0.20 to 22 μg/kg, respectively. The method proposed herein with noteworthy benefits such as rapid determination, simple pretreatment, and accuracy along with better sensitivity and quantity would be a favored method for the detection and measurement of multiple mycotoxin contaminants in different matrices. The MS/MS method shows numerous mycotoxin detection potentials. The pros and cons of conventional and emerging techniques for mycotoxins analysis are precised in Table 7.
Table 7.
Conventional/Emerging methods | Pros | Cons |
---|---|---|
Thin‐layer chromatography (TLC) | Less time consuming, Less equipments required, characteristic fluorescence spot under UV light | Separation takes place up to certain length because of plate length limitation. The separation occurs in an open system or in open condition, and therefore, there is a risk that the humidity and temperature can affect the sample |
Liquid chromatography/Mass spectrometry (LC/MS) | Simultaneous analysis of mycotoxins, good sensitivity, provides confirmation, no derivatization required | Very expensive, specialist expertise required, sensitivity relies on ionization technique, matrix‐assisted calibration curve (for quantitative analysis) |
High‐performance liquid chromatography (HPLC) | HPLC is extremely fast and efficient compared to other chromatographic techniques, such as TLC. The cycle can be completed in approximately 10–30 min, providing high resolution. It is accurate and easily reproducible. It is largely automated, with minimal training, basic HPLC runs can be performed. | Expensive equipment, HPLC can be costly, requiring large quantities of expensive organics. Troubleshooting problems may be difficult due to the presence of different modules, columns, and mobile phases in the instrument |
Gas chromatography–mass spectrometry (GC‐MS) | Simultaneous analysis of mycotoxins, good sensitivity, provides confirmation (MS detector). While GC can separate volatile and nonvolatile components in a sample, MS assists in fragmenting and identifying components based on their mass. It can provide the information about the structure of the compound | Expensive equipment, derivatization required matrix interference problems, nonlinear calibration curve, drifting response, variation in reproducibility and repeatability |
Enzyme‐linked immunosorbent assay (ELISA) | Simple sample preparation, inexpensive equipment, high sensitivity, simultaneous analysis of multiple samples, suitable for screening. ELISA has the added advantages of not having to use radioisotopes (radioactive substances) or an expensive radiation counter (radiation counter) | Cross‐reactivity with related mycotoxins, matrix interference problems, possible false‐positive/negative results |
Micro plate reader | It improves simple ELISA method by reducing the coating, blocking, and competition time. It can reach a higher sensitivity than ELISA | Not portable and convenient device for field application |
Lateral flow strip | One‐step assay, no washing step necessary, fast and low cost, low sample volume, simple test procedure | Qualitative or semi quantitative results, imprecise sample volume reduces precision |
Immunosensor | Immunosensors have the following advantages: portability due to their small scale, high selectivity and sensitivity, quick detection, and cheap materials, no cleanup procedure | Cross‐reactivity with related mycotoxins, variation in reproducibility and repeatability, due to small sizes of most the mycotoxin, it is difficult to develop antibody against them; skilled personnel are required to handle the sophisticated equipment |
Fluorescence polarization immunoassay | Multi‐analyte immunoassay is feasible, wide detection range, long‐lived luminescence in comparison with conventional fluorophore | Background interference in sample, longer incubation time is required for better reproducibility |
Nano particle based methods | The traditional ELISA method is enhanced by gold nanoparticles, Multiple mycotoxins detection using a competitive immunoassay format | Difficult to synthesize and not cost‐effective |
Molecular imprinting (MIP) | Cleanup, easy operation, low cost, stable, reusable, high affinity and selectivity toward the target molecule, Polymers are cost‐effective to synthesized and store for several years at room temperature | Poor selectivity, large volume of organic solvents, and long extraction time is required |
Microarray technology | High‐throughput screening miniaturized, multiplexed, and parallel processing method | Not common because of their variability and reproducibility, intensive labor requirement |
5.2. Fluorescence polarization immunoassay
Time‐resolved fluorescence immunoassay (TRFIA) is a novel analytical method that has been established since 1980s. This technique uses trivalent rare‐earth metal ions (Eu3+, Tb3+, Sm3+, Dy3+) as tracers. Rare‐earth ions–chelator–antigen chelates are prepared by mixing rare‐earth ions, antigen, and chelator. The tested antigen and labeled antigen compete for the antibody to form immune complexes, and the rare‐earth metal ion presents in the antigen–antibody binding portion of immune complexes is responsible for the fluorescence. Hence, the intensity of fluorescence radiated from the metal ion can be measured by TRFIA (Hagan & Zuchner, 2011). Huang et al. (2009) created TR‐FIA for AFB1 and OTA utilizing Eu and Sm as a marker correspondingly. In this reaction, antigen–protein was treated onto micro titer plates followed by the addition of sample and antibody (Monoclonal Abs for OTA and Polyclonal Abs for AFB1) after which distinct labeled second antibody was added. This TR‐FIA was verified and displayed a LOD of 0.02 μg/L and 0.05 μg/L for AFB1 and OTA, respectively. Multi‐analyte immunoassay is possible using two different markers. This technique provides a wide detection range, good reproducibility, high sensitivity, and prolonged luminescence in comparison with the conventional fluorophore. TRFIA is a quick, simple, economic, and stable technology that can be used to identify mycotoxins in a huge number of samples. Further improvement has been done by researchers to combine immunochemical recognition elements and Raman spectroscopy method. Chauhan et al. (2015) used Raman spectroscopy for AFB1 detection. Li, Wen, et al. (2016) has developed multi‐analytes immunoassays and have gained high consideration due to their low sample consumption and short assay times and reduced detection costs per assay. In optimum circumstances, the LOD with MWFPIA was 17.8, 331.5, and 242.0 μg/kg for T‐2 toxin, FB1, and DON, respectively, giving adequate sensitivity for these three contaminants in maize as fixed by the EU. The overall period of analysis and sample preparation was noted to be less than 30 min. Various alterations to homologous MWFPIA such as a way with better sensitivity reduce the detection interval, and targets of interest will result in a simple procedure which can be completed effortlessly.
5.3. Nanoparticles based detection methods
Gold nanoparticles were used to enhance the traditional ELISA method. Label‐free sensor has the same sensitivity to a typical merchantable competitive ELISA kit. Another label‐free process was revealed by Xu, Liu, Li, and Ying (2013) who used gold nanorods treated with antibodies to determine AFB1. Jodra, López, and Escarpa (2015) used an equivalent technique to encapsulate magnetically labeled elements conveying particular antibody enzyme composite, and electrochemical method was used for AFB1 detection.
Surface plasmon resonance (SPR) is an example of an optical detection method that happens when a polarized light hits a prism enclosed by a thin metal (gold) layer. In a few circumstances (polarization, incidence angle, and wavelength), nonbounded electrons at the level of the biochip absorb incident photons and change them into surface plasmon waves. The SPR imaging (SPRi) technique makes SPR method a stage advance. The CCD camera is used to visualize the whole chip and is a sensitive label‐free method. This arrangement permits the biochips to be organized in an array setup in which every active site provides SPR information instantaneously. Detection of multiple toxic mycotoxins is really important to control food quality. A gold nanoparticle (AuNP) intensified SPRi chip was reported to analyze numerous mycotoxins by a competitive immunoassay setup (Hu et al., 2014). Highly sensitive and specific immediate analysis is attained for three characteristic mycotoxins comprising OTA, ZEA, and AFB1 with low detection limits of 30, 15, and 8 pg/ml, respectively. SPRi is an innovative device for simultaneous numerous analysis with better accuracies even though problems occur due to minute extents of mycotoxins with single epitope for an unresponsive competitive immunoassay and restricted sensitivity due to the instrumental restraint.
5.4. Lateral flow immunochromatographic assay detection method
Lateral flow immunochromatographic assay (LFICA) technique has been extensively used for the analysis of mycotoxins in feeds, foods, and agronomic goods because of its low cost, simplicity, and speed. The modern developments of LFICA with various nanomaterials labeled in the detection of mycotoxins were overviewed and prospected (Xie, Yang, Kong, Yang, & Yang, 2015). Detection sensitivity and specificity were enhanced continuously, and the limit of detection could extend to pictogram (pg) level. LFICA, with the benefits such as rapidness of analysis, high sensitivity, solidity, and low cost, offered a fast detection of mycotoxins for mass screening. Nevertheless, this technique still undergoes certain difficulties, and it requires certain instruments in the field application and in quick and spot analysis of mycotoxins. Magro et al. (2016) have developed “Surface Active Magnetite Nanoparticles” (SAMNs), a consistent and effective mean for citrinin exclusion from Monascus preserved foods. The nanomaterial efficacy for citrinin binding was exhibited on (SAMN‐citrinin) complex and Monascus suspensions and was characterized by Magnetization measurements and Mossbauer spectroscopy. SAMNs are considered to be an outstanding and steady magnetic nanocarrier for toxin elimination which can be functioned infood industry.
5.5. Implementation of microfluidic “lab‐on‐a‐chip” for the detection of mycotoxins in foods
An enormous determination has been dedicated to ultra‐accurate and ultrafast quantitation of trace amount of mycotoxins in foodstuffs, and microfluidic devices have developed as a favorable up‐to‐date analytical platform. The awareness of microfluidic analytical platform develops from the theory of Total Analysis System (TAS), which tends to minimize and assimilate the essential phases for exploration of a sample onto a particular instrument. The microfluidic analytical platform, also recognized as Micro Total Analysis Systems (mTAS), additionally increases its usage thereby creating the entire arrangement of a research laboratory onto a distinct chip in micrometer level (Kovarik et al., 2013; Dittrich, Tachikawa, & Manz, 2006). As its term designates, microfluidics compacts with regulatory solutions of minute quantity (naturally in nanoliters) in micro scale passages (Squires & Quake, 2005). The typical passage dimension of microfluidic analytical instruments ranges from 1 to 1,000 µm (Bayraktar & Pidugu, 2006). Electrochemical‐dependent detection technique is an outstanding method to be merged into the microfluidic LOC instruments because of its inbuilt ability for small scale without affecting performance depletion, better sensitivity and compatibility (Neagu, Perrino, Micheli, Palleschi, & Moscone, 2009; Yeh, Chen, Lin, Chang, & Lin, 2009). It has specific benefits as its reaction is not restricted by sample turbidity or optical path length (Hervás, López, & Escarpa, 2012). MS detection method is noteworthy for its sensitivity and fast speed. The combination of microfabricated devices with this instrument can attain a low limit of detection. MS analysis is a label‐free method joined with microfluidic immunosensor, an alternative mode for the improvement of mycotoxins assays. Liu, Lin, Chan, Lin, and Fuh (2013) explored a chip‐nano liquid chromatography interface/triple quadrupole MS (Chipnano LC/QqQ‐MS) system to regulate AFs in peanut foodstuffs. The application of two column design chip‐based on LC methods decreased matrice interference and online sample preconcentration, thereby enabling concurrent and fast determination of individual AFs. Microfluidic immunosensor joined with chemiluminescence‐based indirect competitive. Molecularly imprinted polymers (MIPs), aptamer, antibody, and microarray technology are four favorable components which can be incorporated with microfluidic LOC instruments to pass the molecule‐specific seizure. Antibodies are the single immunological dependent parting components that are useful into microfluidic devices. The main benefit of antibody based immunoassay is its higher specificity. Addition of dissimilar antibodies into a multi‐channel microfluidic device can increase the quantitative determination of mycotoxins in a better performing way. The classic microfluidic immunosensor applied for the quantification of mycotoxins are lateral flow test strip (LFTS) and capillary electro migration microchip (CE chip) that are forced by capillary force and capillary electro migration respectively (Luppa, Sokoll, & Chan, 2001; Li et al., 2012). For illustration, a competitive immunoassay–microfluidic instruments have been evolved for the segregation and quantification of ZEA (Hervas, Lopez, & Escarpa, 2011). Molecular imprinting (MIP) is an alternative well‐organized separation technique that has been combined into the microfluidic LOC system. MIP is an advanced template induced formation of specific recognition sites where the template guides the alignment and positioning of the substance in structural elements of a self‐build machinery (Ulbricht, Matuschewski, Oechel, & Hicke, 1996). A MIP electrochemical sensor has been recently fabricated for the selective detection of T‐2 toxin by introducing iron ions (Fe3+) to enhance the chelation of the templates and metal ions (Gao et al., 2014). Theoretically, the key benefits of MIPs are as follows: it is cost‐effective and the most generic technique for formulating synthetic receptors. MIPs can be prepared for a wide range of compounds with natural biomolecules, but frequently has better specificity in organic solvents and stability in a wide range of pH, temperature, and pressure. However, MIPs also have some limitations like the exact stereochemical structure of the imprint are not known, and template costs may vary considerably from one compound of interest to another, slow mass transfer in the polymer matrice, and unfavorable adsorption isotherm in case of separation media.
Aptamer is a form of single‐stranded oligonucleotides, such as single‐strand deoxyribonucleic acid (ssDNA) and ribonucleic acid (RNA), 25–80 bases long and are manufactured by in vitro selection process known as Systematic Evolution of Ligands by Exponential Enrichment (SELEX). Due to their unique three‐dimensional (3‐D) structures, aptamer can bind target molecules with specificity and high affinity with folding patterns and different spatial structures (Lou et al., 2009). Chapuis‐Hugon, Boisbaudry, Madru, and Pichon (2011) found that aptamer immobilization via noncovalent binding (streptavidin‐activated agarose) has lesser binding efficiency (29%) than covalent binding (cyanogen bromide‐activated sepharose) and less favorable to purify OTA in red wines. De Girolamo et al. (2011) and De Girolamo, Le, Penner, Schena, and Visconti (2012) immobilized aptamer with a coupling gel and used it as a sorbent for the preparation of SPE columns to clean up OTA from wheat sample. Also, LOD of 23 pg/g with average recovery from 74% to 88% was attained by HPLC‐FLD analysis. This column could be reprocessed five times without any damage of enactment. The application of aptamers analysis shows better visions than antibodies in the fields of environmental monitoring, new drug development, food analysis, toxicological study, clinical diagnosis and treatment, etc. Current application of microfluidic‐dependent analytical devices for the determination of mycotoxins has focused the combinative utilization of microfluidic systems with other contemporary techniques known as immunoassays and nanotechnology. The greatest beneficial sorts beyond the customary immunoassays achieved in microwaves are the condensed diffusion distance because of the high surface to volume ratio of the reduced microfluidic systems, which improved analysis time and analytical sensitivity (Hervás et al., 2012).
Microarray technology is a new lab‐on‐chip technology, created on a solid substrate (usually a silicon thin film or glass slide) that assays huge amounts of biological material using parallel and multiplexed processing, high‐throughput screening detection methods. Use of antibody microarrays for the autonomous detection of two common mycotoxins, FB1 and AFB1, was reported by Lamberti, Tanzarella, Solinas, Padula, and Mosiello (2009) with LOD of 43 and 3 ng/ml, respectively. The excellence of the microarray information is analogous to data produced using microplate‐based immunoassay (ELISA). Microarray technique has numerous benefits such as the requirement of minimal volume of sample, high‐throughput analysis and possible detection of extensive range of compounds (Nicolaisen, Justesen, Thrane, Skouboe, & Holmstrøm, 2005). However, most of the investigators do not have confidence in the data obtained from microarrays because of their high variability and low reproducibility. Though abovementioned separation procedures have not been extensively applied in the separation and recognition of mycotoxins, these methods are utilized for the separation and enhancement of other nutrient chemical hazards, known as herbicides, antibiotic residues, and pesticides. These components have the prospective to be assimilated into a microfluidic LOC platform for a comprehensive parting of mycotoxins from foodstuffs formerly a critical analysis.
5.6. Phage display techniques
Phage display addresses to protein libraries and large peptide on the surface of filamentous phage, which leads to the selection of proteins and peptides, containing antibodies, with high specificity and affinity to practically any target. Hu et al. (2011) created a biological phage display technology (PDT) with a robust separation purpose for peptides. The main aim of this technology is to combine genotype of phage carrier with the phenotype of protein molecule and to shorten the estimation and selection of protein expression library through a series of genetic and biochemical operation. Phage display technology is used to simulate antigen epitope, formulate antibody to skip the cell synthesis and to screen single antibody as target molecule or simulate epitope of mycotoxins using monoclonal antibody (McAb), which can ensure the safety of operators and substitute the standard ingredients of mycotoxins to form nontoxic ELISA detection method. He, Xu, Zhang, Li, and Huang (2014) obtained nine positive clones of ZEA phage from 7‐peptide library after 3‐wheel screening. The results of the competitive ELISA showed that all the nine positive clones could be restrained by ZEA with a detection range of 0.1–10 μg/L. A successful illustration of a simulation epitope of orange penicillin through the PDT provide the basis for developing nontoxic ELISA kit for detecting mycotoxins. Lai, Xu, Xiong, Chen, and Liu (2008) and Lai, Fung, Yang, Renrong, and Xiong (2009) applied the screened OTA simulation epitope peptide for emerging a nontoxic colloidal gold paper slip system. The recently recognized colloidal gold paper slip system could be an appropriate method for the detection of OTA. Using the simulation epitope peptide to substitute the standard toxin product not only reduces environmental pollution of mycotoxins but also recovers the safety of operators. Hence, the combination of PDT with the immune colloidal gold marker technology can result in an imminent drift for detecting mycotoxins.
6. CONCLUSION
This review summarizes the recent trends of developments in the methods of sample extraction, cleanup processes, detection technologies, quantitative methods, and also on the current research of fast and noninvasive detection methods. Sample pretreatment has continuously been a challenging step for analysis of mycotoxins in various food matrices. Sample preparation protocol often needs to be optimized to increase the extraction efficiency. Significant advances were made with the introduction of modern IAC and SPE in the cleanup process. Novel nanomaterials have been introduced as absorbents which have been shown to increase specificity in comparison with traditional methods as it can be recycled to reduce the cost. Different analytical approaches for mycotoxins occurring in cereals and cereal‐based products have been advanced and progressively enhanced. Chromatographic methods such as TLC and HPLC are noted to be regular and the global gold techniques in AFs analysis in laboratories. TLC was the most commonly used chromatographic technique applied to mycotoxins in the early 1980s; however, it has certain drawbacks, such as low sensitivity and poor accuracy. TLC method is effectively replaced by HPLC technique. Furthermost often applied detectors are UV, PDA, and FL which ensure a specific use in the area of mycotoxins. The developments have passed from the detection of the single compound determination to the concurrent detection of numerous targets, carried out using immense composite cleanup stages, for example, QuEChERS. Among the ordinary methods, immunoaffinity column cleanup linked with HPLC has been the utmost regularly utilized method for the analysis of major mycotoxins in food and feed. LC‐MS has all the benefits over HPLC for trace level detection and confirmation, particularly for complex matrices, and it can obtain data regarding mycotoxin identity. It has shown great potential for multi‐mycotoxin analysis after single step extraction. A total of 33 mycotoxins including AFs (AFB1, AFB2, AFG1, AFG2), DON, OTA, ZEA, HT‐2, and T‐2 toxin were analyzed and quantified in different food matrices. LC–MS/MS has a great potential to test large amounts of samples for the presence of a variety of mycotoxins. Analytical methods based on spectroscopy and immunochemistry have been added to the earlier chromatographic methods, of which immunoassays emerged as better substitutes for routine and on‐site detection of mycotoxins. Improvement in analytical chemistry and recent advances in immunochemistry have led to more specific, sensitive, simple, and rapid immunoassays that deliver quantitative and semiquantitative results on‐site and have developed as the process of selection for routine analysis of mycotoxins in the field and storehouses. ELISA method has been used for the analysis of AFs (AFB1, AFB2, AFG1, AFG2) and OTA in rice and food stuffs; still, these approaches need confirmatory analysis using other vigorous procedures. It is worth noting that although several sensitive methods like the microplate reader and lateral flow strip have been mentioned in the analysis of mycotoxins based on immunochemical format, they require expertise and well‐instructed operators. Therefore, the quest for label‐free, fast, and more sensitive tools based on immune‐biosensor format continues. Which can offer compact, lightweight, responsive, and reliable mycotoxin detection devices in the field.
Apart from typical antibodies, several new recognition components such as molecularly imprinted polymers and aptamers are applied in mycotoxin detections at pg/ml level. Efforts are continuing on optimizing aptasensors that bind to AFB1 for detection in the field. Nanoparticles and nanostructure‐based analytical devices have high sensitivity and low detection limits and can be potentially used as portable instrumentation. The microarray technology is fast, sensitive, but not yet common because of their variability and reproducibility issues.
No doubt, the researchers have shown the pathway of new science, unique technology, inventive material, and state of art sensing technique but are not in reach in real life. Although recommending a single method applicable for all types of samples is not possible, the selection of method should be based on the type of sample, the objective, and the facility available in the laboratory. This critical review will be beneficial for the researchers, and industries involved in mycotoxin research to choose appropriate detection and quantification technique.
CONFLICT OF INTEREST
The authors declare that they have no conflict of interest.
ETHICAL APPROVAL
Human and animal testing is unnecessary in our study.
ACKNOWLEDGMENTS
The authors are grateful to the management of Vellore Institute of Technology, Vellore, Tamilnadu, India for providing the facilities for the presented review paper. Ms. Jyoti Singh is also thankful to the Vellore Institute of Technology for providing her an institutional research fellowship.
Singh J, Mehta A. Rapid and sensitive detection of mycotoxins by advanced and emerging analytical methods: A review. Food Sci Nutr. 2020;8:2183–2204. 10.1002/fsn3.1474
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